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e71d73b096
for some cases (for example, super resolution), the DNN model changes the frame size which impacts the filter behavior, so the filter needs to know the out frame size at very beginning. Currently, the filter reuses DNNModule.execute_model to query the out frame size, it is not clear from interface perspective, so add a new explict interface DNNModel.get_output for such query.
80 lines
3.2 KiB
C
80 lines
3.2 KiB
C
/*
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* Copyright (c) 2018 Sergey Lavrushkin
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*
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* This file is part of FFmpeg.
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*
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* FFmpeg is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* FFmpeg is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with FFmpeg; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*/
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/**
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* @file
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* DNN inference engine interface.
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*/
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#ifndef AVFILTER_DNN_INTERFACE_H
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#define AVFILTER_DNN_INTERFACE_H
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#include <stdint.h>
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#include "libavutil/frame.h"
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typedef enum {DNN_SUCCESS, DNN_ERROR} DNNReturnType;
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typedef enum {DNN_NATIVE, DNN_TF, DNN_OV} DNNBackendType;
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typedef enum {DNN_FLOAT = 1, DNN_UINT8 = 4} DNNDataType;
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typedef struct DNNData{
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void *data;
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DNNDataType dt;
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int width, height, channels;
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} DNNData;
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typedef struct DNNModel{
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// Stores model that can be different for different backends.
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void *model;
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// Stores options when the model is executed by the backend
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const char *options;
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// Stores userdata used for the interaction between AVFrame and DNNData
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void *userdata;
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// Gets model input information
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// Just reuse struct DNNData here, actually the DNNData.data field is not needed.
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DNNReturnType (*get_input)(void *model, DNNData *input, const char *input_name);
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// Gets model output width/height with given input w/h
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DNNReturnType (*get_output)(void *model, const char *input_name, int input_width, int input_height,
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const char *output_name, int *output_width, int *output_height);
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// set the pre process to transfer data from AVFrame to DNNData
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// the default implementation within DNN is used if it is not provided by the filter
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int (*pre_proc)(AVFrame *frame_in, DNNData *model_input, void *user_data);
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// set the post process to transfer data from DNNData to AVFrame
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// the default implementation within DNN is used if it is not provided by the filter
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int (*post_proc)(AVFrame *frame_out, DNNData *model_output, void *user_data);
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} DNNModel;
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// Stores pointers to functions for loading, executing, freeing DNN models for one of the backends.
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typedef struct DNNModule{
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// Loads model and parameters from given file. Returns NULL if it is not possible.
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DNNModel *(*load_model)(const char *model_filename, const char *options, void *userdata);
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// Executes model with specified input and output. Returns DNN_ERROR otherwise.
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DNNReturnType (*execute_model)(const DNNModel *model, const char *input_name, AVFrame *in_frame,
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const char **output_names, uint32_t nb_output, AVFrame *out_frame);
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// Frees memory allocated for model.
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void (*free_model)(DNNModel **model);
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} DNNModule;
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// Initializes DNNModule depending on chosen backend.
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DNNModule *ff_get_dnn_module(DNNBackendType backend_type);
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#endif
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